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Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks.

, , , and . Knowl. Based Syst., (November 2023)

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Exploring the Automatic Selection of Aggregation Methods in Group Recommendation., , and . EUSFLAT/AGOP, volume 14069 of Lecture Notes in Computer Science, page 149-160. Springer, (2023)Natural Noise Management in Recommender Systems Using Fuzzy Tools., , and . Computational Intelligence for Semantic Knowledge Management, volume 837 of Studies in Computational Intelligence, Springer, (2020)A Fuzzy Approach for Recommending Problems to Solve in Programming Online Judges., and . MICAI (1), volume 10632 of Lecture Notes in Computer Science, page 208-220. Springer, (2017)Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks., , , and . Knowl. Based Syst., (November 2023)A fuzzy approach for natural noise management in group recommender systems., , and . Expert Syst. Appl., (2018)Managing natural noise in collaborative recommender systems., , and . IFSA/NAFIPS, page 872-877. IEEE, (2013)A fuzzy model for managing natural noise in recommender systems., , and . Appl. Soft Comput., (2016)Fuzzy Tools in Recommender Systems: A Survey., and . Int. J. Comput. Intell. Syst., 10 (1): 776-803 (2017)Managing Natural Noise in Recommender Systems., , and . TPNC, volume 10071 of Lecture Notes in Computer Science, page 3-17. (2016)A Food Recommender System Considering Nutritional Information and User Preferences., , and . IEEE Access, (2019)